productivity▌

Text-to-image generation and image-to-image editing via Google's Gemini 3 Pro Image API. \n \n Supports both new image generation from text prompts and editing of existing images with instruction-based modifications \n Configurable output resolution: 1K (default), 2K, or 4K for high-resolution results \n Automatically detects API key from --api-key argument or GEMINI_API_KEY environment variable \n Saves PNG output to the user's current working directory with timestamped filenames \n

This skill provides comprehensive translation expertise for English, Japanese, and Traditional Chinese. It covers translation methodologies, cultural considerations, and best practices for producing high-quality translations.

This skill enables AI agents to perform a comprehensive web accessibility evaluation using the Web Content Accessibility Guidelines (WCAG) 2.1 and 2.2 standards, ensuring digital products are usable by people with disabilities.

Compile, audit, and improve English LaTeX conference and journal papers with targeted module-based checks. \n \n Supports 12 specialized modules covering compilation, formatting, bibliography validation, grammar, sentence clarity, logic flow, expression polish, translation, title optimization, figure quality, pseudocode review, and experiment-section analysis. \n Preserves LaTeX syntax, citations, references, labels, and math environments by default; returns findings in diff-comment style for ea

Use PptxGenJS for slide authoring. Do not use python-pptx for deck generation unless the task is inspection-only; keep editable output in JavaScript and deliver both the .pptx and the source .js.

Use ECharts when you need:

blender

This skill enables management of Coolify deployments through both the official CLI and direct API access. It provides workflows for diagnosing service issues, fixing common WordPress problems, managing containers, and performing deployment operations across self-hosted and cloud Coolify instances.

Search and fetch high-quality photos from Unsplash with automatic attribution.

Convert product requirements into independently-deliverable GitHub issues using vertical-slice architecture. \n \n Fetches PRD content from GitHub, analyzes the codebase context, and breaks requirements into thin vertical slices that span all integration layers end-to-end \n Distinguishes between HITL (human-in-the-loop, requiring decisions) and AFK (autonomous, mergeable without review) slices, preferring AFK where possible \n Presents proposed breakdown for user feedback on granularity, depend